Abstracts
Abstract
This study explores a library-led research data management (RDM) training program at a Canadian post-secondary institution that targeted students working on research projects over the summer. In this paper we describe the program and share findings from a student reflection assignment about completing a data management plan (DMP). Students’ faculty supervisors were required to register them for the program. The training program included four requirements for student participants: attending an introductory RDM session; attending a DMP workshop; submitting a DMP for feedback; and completing a reflection assignment. If participants consented, their reflection assignments were analyzed using a qualitative content analysis approach. Thirty-five faculty supervisors registered 53 students to participate. Thirty-three students completed all components of the program, with 19 providing consent for the analysis of the reflection assignment. Students reported that the benefits of completing a DMP included improved project planning, best practices, data reuse, and team communication. Reported challenges included the inflexibility of DMPs, difficulty populating DMPs, demands on researchers’ time, and lack of long-term value. Fourteen of 19 students reported that building a DMP helped them with their summer projects. Through instruction, practical engagement, and reflection within the context of real-world research, the program supported students in learning about RDM and developing a DMP. Insights for library employees who wish to refine or develop training in their local contexts include the utility of participation incentives such as co-curricular credit, the value of faculty participation in RDM programming for students, and the benefits of collaborating with institutional research offices.
Keywords:
- Research Data Management,
- RDM,
- Data Management Plans,
- DMPs,
- Academic Librarianship,
- research services,
- Library instruction
Résumé
Cette étude examine un programme de formation sur la gestion des données de recherche (GDR) mené par la bibliothèque d’un établissement postsecondaire canadien qui visait à rejoindre des étudiants travaillant sur des projets de recherche au cours de l’été. Dans cet article, nous décrivons le programme et nous partageons les résultats d’un travail de réflexion étudiant sur l’élaboration d’un plan de gestion des données (PGD). Les directeurs des étudiants devaient les inscrire au programme. Le programme de formation comprenait quatre exigences pour les participants étudiants: participer à une session d’introduction sur la GDR, participer à une formation sur les PGD, soumettre un PGD pour de la rétroaction, et compléter un travail de réflexion. Si les participants offraient leur consentement, leurs travaux de réflexion étaient analysés en utilisant une méthode d’analyse de contenu qualitative. Trente-cinq directeurs ont inscrit 53 étudiants. Trente-cinq étudiants ont complété toutes les exigences du programme et 19 ont accepté qu’une analyse de contenu de leurs travaux soit faite. Les étudiants ont indiqué que les bénéfices d’élaborer un PGD comprennent une meilleure gestion de projet, de meilleures pratiques, la réutilisation des données et la communication d’équipe. Les défis recensés comprennent le manque de flexibilité des PGD, des difficultés à remplir un PGD, les exigences en matière de temps des chercheurs et le manque de valeur à long terme. Quatorze des 19 étudiants ont indiqué que la rédaction d’un PGD a été utile pour leurs projets d’été. Grâce à l’enseignement, à l’engagement pratique et à la réflexion dans le contexte de la recherche dans le monde réel, le programme a aidé les étudiants à se familiariser avec la GDR et à élaborer un PGD.
Mots-clés :
- GDR,
- gestion des données de recherche,
- plans de gestion des données,
- pgd,
- bibliothéconomie universitaire,
- services de recherche,
- formation documentaire
Appendices
Bibliography
- Bardyn, T. P., Patridge, E. F., Moore, M. T., & Koh, J. J. (2018). Health sciences libraries advancing collaborative clinical research data management in universities. Journal of Escience Librarianship, 7(2).
- Bauder, J. (2022). Teaching research data management. ALA Editions.
- Borghi, J., Abrams, S., Lowenberg, D., Simms, S., & Chodacki, J. (2018). Support your data: A research data management guide for researchers. Research Ideas and Outcomes, 4, Article e26439.
- Clare, C., Cruz, M., Papadopoulou, E., Savage, J., Teperek, M., & Wang, Y. (2019). Engaging researchers with data management: The cookbook. Open Book Publishers.
- CODATA. (n.d.). Research data management. Retrieved November 14, 2023.
- Cooper, D. M., Hill, C. B., & Schonfeld, R. C. (2022). Aligning the research library to organizational strategy. Ithaka S+R.
- Cox, A. M., Kennan, M. A., Lyon, L., & Pinfield, S. (2017). Developments in research data management in academic libraries: Towards an understanding of research data service maturity. Journal of the Association for Information Science and Technology, 68(9), 2182–2200.
- DMP Assistant. (2022). [Computer software]. Digital Research Alliance of Canada.
- Dressel, W. F. (2017). Research data management instruction for digital humanities. Journal of eScience Librarianship, 6(2), Article e1115.
- Government of Canada. (2021). Tri-Agency research data management policy.
- Hsieh, H.-F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277–1288.
- Kim, S., & Syn, S. Y. (2021). Practical considerations for a library’s research data management services: The case of the National Institutes of Health Library. Journal of the Medical Library Association, 109(3), 450–458.
- LaPolla, F. W. Z., Contaxis, N., & Surkis, A. (2021). Piloting a long-term evaluation of library data workshops. Journal of the Medical Library Association, 109(3), 490– 496.
- Oo, C. Z., Chew, A. W., Wong, A. L. H., Gladding, J., & Stenstrom, C. (2022). Delineating the successful features of research data management training: A systematic review. International Journal for Academic Development, 27(3), 249–264.
- Read, K. B., Koos, J., Miller, R. S., Miller, C. F., Phillips, G. A., Scheinfeld, L., & Surkis, A. (2019). A model for initiating research data management services at academic libraries. Journal of the Medical Library Association: JMLA, 107(3), 432–441.
- Rod, A., Hervieux, S., & Lee, N. (2024). Evaluating an instructional intervention for research data management training. Evidence Based Library and Information Practice, 19(1), 114–131.
- Rod, A. B., Zhou, B., & Rousseau, M.-E. (2023). There’s no" I" in research data management: Reshaping RDM services toward a collaborative multi-stakeholder model. Journal of eScience Librarianship, 12(1), Article e624.
- Saldaña, J., author. (2016). The coding manual for qualitative researchers (3rd ed.) Sage.
- Southall, J., & Scutt, C. (2017). Training for research data management at the Bodleian Libraries: National contexts and local implementation for researchers and librarians. New Review of Academic Librarianship, 23(2–3), 303–322.
- Tayler, F., & Jafary, M. (2021). Shifting horizons: A literature review of research data management train-the-trainer models for library and campus-wide research support staff in canadian institutions. Evidence Based Library and Information Practice, 16(1), 78–90.
- Thompson, K., Hill, E., Carlisle-Johnston, E., Dennie, D., & Fortin, É (Eds). (2023). Research data management in the Canadian context. Western University, Western Libraries.
- Tracy, S. (2020). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact (2nd ed.). Wiley-Blackwell.
- Xu, Z., Zhou, X., Kogut, A., & Watts, J. (2022). A scoping review: Synthesizing evidence on data management instruction in academic libraries. The Journal of Academic Librarianship, 48(3), Article 102508.